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FID3023 Research Methodology in Computer Science 7.5 credits

In recent years, relating descriptions of research to the Sustainable Development Goals has become very important. To relate here entails more than the trivial fact that engineering improvements affects energy consumption positively. All the goals will be scrutinized in the course and a guest lecturer will contribute an external perspective.

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FID3023 (Autumn 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course disposition

The planned course activities are: seminars, written reports, exercises, and presentations.

Course contents

The course includes but is not limited to: models and their properties, experiments, sustainability, ethics, and statistical methods.

Intended learning outcomes

After the course, the student will be able to:
- evaluate different scientific research methods in computer science.
- describe how these methods can be used in their own research.
- analyze computability and reproducibility in their own research.
- design, conduct, present, analyze, and summarize experiments.
- apply basic statistical methods applicable within computer science.
- analyze professional responsibility and ethical aspects specific to computer science.
- identify elements in own research relevant to the KTH- and the UN sustainability development goals.

Literature and preparations

Specific prerequisites

Doctoral students

Recommended prerequisites

Master Degree

Equipment

None, lab work can be done on personal computing devices or on available servers.

Literature

Selected research publications. Course material.
Exact contents to be determined later.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • EXA1 - Written exam, 7.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

 Assignments.

Other requirements for final grade

 Active participation and fulfilled assignments.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted

Postgraduate course

Postgraduate courses at EECS/Software and Computer Systems